{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# VAE outlier detection on KDD Cup '99 dataset\n",
    "\n",
    "## Method\n",
    "\n",
    "The Variational Auto-Encoder ([VAE](https://arxiv.org/abs/1312.6114)) outlier detector is first trained on a batch of unlabeled, but normal (*inlier*) data. Unsupervised training is desireable since labeled data is often scarce. The VAE detector tries to reconstruct the input it receives. If the input data cannot be reconstructed well, the reconstruction error is high and the data can be flagged as an outlier. The reconstruction error is either measured as the mean squared error (MSE) between the input and the reconstructed instance or as the probability that both the input and the reconstructed instance are generated by the same process.\n",
    "\n",
    "## Dataset\n",
    "\n",
    "The outlier detector needs to detect computer network intrusions using TCP dump data for a local-area network (LAN) simulating a typical U.S. Air Force LAN. A connection is a sequence of TCP packets starting and ending at some well defined times, between which data flows to and from a source IP address to a target IP address under some well defined protocol. Each connection is labeled as either normal, or as an attack.\n",
    "\n",
    "There are 4 types of attacks in the dataset:\n",
    "\n",
    "- DOS: denial-of-service, e.g. syn flood;\n",
    "- R2L: unauthorized access from a remote machine, e.g. guessing password;\n",
    "- U2R: unauthorized access to local superuser (root) privileges;\n",
    "- probing: surveillance and other probing, e.g., port scanning.\n",
    "\n",
    "The dataset contains about 5 million connection records.\n",
    "\n",
    "There are 3 types of features:\n",
    "\n",
    "- basic features of individual connections, e.g. duration of connection\n",
    "- content features within a connection, e.g. number of failed log in attempts\n",
    "- traffic features within a 2 second window, e.g. number of connections to the same host as the current connection"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook requires the `seaborn` package for visualization which can be installed via `pip`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install seaborn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "os.environ[\"TF_USE_LEGACY_KERAS\"] = \"1\"\n",
    "\n",
    "import logging\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from sklearn.metrics import confusion_matrix, f1_score\n",
    "import tensorflow as tf\n",
    "tf.keras.backend.clear_session()\n",
    "from tensorflow.keras.layers import Dense, InputLayer\n",
    "\n",
    "from alibi_detect.datasets import fetch_kdd\n",
    "from alibi_detect.models.tensorflow import elbo\n",
    "from alibi_detect.od import OutlierVAE\n",
    "from alibi_detect.utils.data import create_outlier_batch\n",
    "from alibi_detect.utils.fetching import fetch_detector\n",
    "from alibi_detect.saving import save_detector, load_detector\n",
    "from alibi_detect.utils.visualize import plot_instance_score, plot_feature_outlier_tabular, plot_roc\n",
    "\n",
    "logger = tf.get_logger()\n",
    "logger.setLevel(logging.ERROR)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load dataset\n",
    "\n",
    "We only keep a number of continuous (18 out of 41) features."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(494021, 18) (494021,)\n"
     ]
    }
   ],
   "source": [
    "kddcup = fetch_kdd(percent10=True)  # only load 10% of the dataset\n",
    "print(kddcup.data.shape, kddcup.target.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Assume that a model is trained on *normal* instances of the dataset (not outliers) and standardization is applied:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(400000, 18) (400000,)\n",
      "0.0% outliers\n"
     ]
    }
   ],
   "source": [
    "np.random.seed(0)\n",
    "normal_batch = create_outlier_batch(kddcup.data, kddcup.target, n_samples=400000, perc_outlier=0)\n",
    "X_train, y_train = normal_batch.data.astype('float'), normal_batch.target\n",
    "print(X_train.shape, y_train.shape)\n",
    "print('{}% outliers'.format(100 * y_train.mean()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "mean, stdev = X_train.mean(axis=0), X_train.std(axis=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Apply standardization:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train = (X_train - mean) / stdev"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load or define outlier detector\n",
    "\n",
    "The pretrained outlier and adversarial detectors used in the example notebooks can be found [here](https://console.cloud.google.com/storage/browser/seldon-models/alibi-detect). You can use the built-in ```fetch_detector``` function which saves the pre-trained models in a local directory ```filepath``` and loads the detector. Alternatively, you can train a detector from scratch:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "load_outlier_detector = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:alibi_detect.od.vae:No threshold level set. Need to infer threshold using `infer_threshold`.\n"
     ]
    }
   ],
   "source": [
    "filepath = 'my_dir'  # change to directory (absolute path) where model is downloaded\n",
    "detector_type = 'outlier'\n",
    "dataset = 'kddcup'\n",
    "detector_name = 'OutlierVAE'\n",
    "filepath = os.path.join(filepath, detector_name)\n",
    "if load_outlier_detector:  # load pretrained outlier detector\n",
    "    od = fetch_detector(filepath, detector_type, dataset, detector_name)\n",
    "else:  # define model, initialize, train and save outlier detector\n",
    "    n_features = X_train.shape[1]\n",
    "    latent_dim = 2\n",
    "    \n",
    "    encoder_net = tf.keras.Sequential(\n",
    "      [\n",
    "          InputLayer(input_shape=(n_features,)),\n",
    "          Dense(20, activation=tf.nn.relu),\n",
    "          Dense(15, activation=tf.nn.relu),\n",
    "          Dense(7, activation=tf.nn.relu)\n",
    "      ])\n",
    "\n",
    "    decoder_net = tf.keras.Sequential(\n",
    "      [\n",
    "          InputLayer(input_shape=(latent_dim,)),\n",
    "          Dense(7, activation=tf.nn.relu),\n",
    "          Dense(15, activation=tf.nn.relu),\n",
    "          Dense(20, activation=tf.nn.relu),\n",
    "          Dense(n_features, activation=None)\n",
    "      ])\n",
    "    \n",
    "    # initialize outlier detector\n",
    "    od = OutlierVAE(threshold=None,  # threshold for outlier score\n",
    "                    score_type='mse',  # use MSE of reconstruction error for outlier detection\n",
    "                    encoder_net=encoder_net,  # can also pass VAE model instead\n",
    "                    decoder_net=decoder_net,  # of separate encoder and decoder\n",
    "                    latent_dim=latent_dim,\n",
    "                    samples=5)\n",
    "    # train\n",
    "    od.fit(X_train,\n",
    "           loss_fn=elbo,\n",
    "           cov_elbo=dict(sim=.01),\n",
    "           epochs=30,\n",
    "           verbose=True)\n",
    "    \n",
    "    # save the trained outlier detector\n",
    "    save_detector(od, filepath)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The warning tells us we still need to set the outlier threshold. This can be done with the `infer_threshold` method. We need to pass a batch of instances and specify what percentage of those we consider to be normal via `threshold_perc`. Let's assume we have some data which we know contains around 5% outliers. The percentage of outliers can be set with `perc_outlier` in the `create_outlier_batch` function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5.0% outliers\n"
     ]
    }
   ],
   "source": [
    "np.random.seed(0)\n",
    "perc_outlier = 5\n",
    "threshold_batch = create_outlier_batch(kddcup.data, kddcup.target, n_samples=1000, perc_outlier=perc_outlier)\n",
    "X_threshold, y_threshold = threshold_batch.data.astype('float'), threshold_batch.target\n",
    "X_threshold = (X_threshold - mean) / stdev\n",
    "print('{}% outliers'.format(100 * y_threshold.mean()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "New threshold: 1.7367815971374498\n"
     ]
    }
   ],
   "source": [
    "od.infer_threshold(X_threshold, threshold_perc=100-perc_outlier)\n",
    "print('New threshold: {}'.format(od.threshold))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We could have also inferred the threshold from the normal training data by setting `threshold_perc` e.g. at 99 and adding a bit of margin on top of the inferred threshold. Let's save the outlier detector with updated threshold:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "save_detector(od, filepath)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Detect outliers\n",
    "\n",
    "We now generate a batch of data with 10% outliers and detect the outliers in the batch. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1000, 18) (1000,)\n",
      "10.0% outliers\n"
     ]
    }
   ],
   "source": [
    "np.random.seed(1)\n",
    "outlier_batch = create_outlier_batch(kddcup.data, kddcup.target, n_samples=1000, perc_outlier=10)\n",
    "X_outlier, y_outlier = outlier_batch.data.astype('float'), outlier_batch.target\n",
    "X_outlier = (X_outlier - mean) / stdev\n",
    "print(X_outlier.shape, y_outlier.shape)\n",
    "print('{}% outliers'.format(100 * y_outlier.mean()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Predict outliers:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['instance_score', 'feature_score', 'is_outlier']\n"
     ]
    }
   ],
   "source": [
    "od_preds = od.predict(X_outlier,\n",
    "                      outlier_type='instance',    # use 'feature' or 'instance' level\n",
    "                      return_feature_score=True,  # scores used to determine outliers\n",
    "                      return_instance_score=True)\n",
    "print(list(od_preds['data'].keys()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Display results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "F1 score and confusion matrix:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "F1 score: 0.9754\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = outlier_batch.target_names\n",
    "y_pred = od_preds['data']['is_outlier']\n",
    "f1 = f1_score(y_outlier, y_pred)\n",
    "print('F1 score: {:.4f}'.format(f1))\n",
    "cm = confusion_matrix(y_outlier, y_pred)\n",
    "df_cm = pd.DataFrame(cm, index=labels, columns=labels)\n",
    "sns.heatmap(df_cm, annot=True, cbar=True, linewidths=.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot instance level outlier scores vs. the outlier threshold:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_instance_score(od_preds, y_outlier, labels, od.threshold)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can clearly see that some outliers are very easy to detect while others have outlier scores closer to the normal data. We can also plot the ROC curve for the outlier scores of the detector:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "roc_data = {'VAE': {'scores': od_preds['data']['instance_score'], 'labels': y_outlier}}\n",
    "plot_roc(roc_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Investigate instance level outlier\n",
    "\n",
    "We can now take a closer look at some of the individual predictions on `X_outlier`. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_recon = od.vae(X_outlier).numpy()  # reconstructed instances by the VAE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x2160 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_feature_outlier_tabular(od_preds,\n",
    "                             X_outlier,\n",
    "                             X_recon=X_recon,\n",
    "                             threshold=od.threshold,\n",
    "                             instance_ids=None,  # pass a list with indices of instances to display\n",
    "                             max_instances=5,  # max nb of instances to display\n",
    "                             top_n=5,  # only show top_n features ordered by outlier score\n",
    "                             outliers_only=False,  # only show outlier predictions\n",
    "                             feature_names=kddcup.feature_names,  # add feature names\n",
    "                             figsize=(20, 30))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `srv_count` feature is responsible for a lot of the displayed outliers."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
